PottsUtils v0.3-3

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Utility Functions of the Potts Models

There are three sets of functions. The first produces basic properties of a graph and generates samples from multinomial distributions to facilitate the simulation functions (they maybe used for other purposes as well). The second provides various simulation functions for a Potts model in Potts, R. B. (1952) <doi:10.1017/S0305004100027419>. The third currently includes only one function which computes the normalizing constant of a Potts model based on simulation results.

Functions in PottsUtils

Name Description
rPotts1 Generate One Random Sample from a Potts Model
getNC Calculate the Normalizing Constant of a Simple Potts Model
getNeighbors Get Neighbors of All Vertices of a Graph
BlocksGibbs Generate Random Samples from a Potts Model Using the Checkerboard Idea
SW Generate Random Samples from a Compound Potts Model by the Swendsen-Wang Algorithm
getPatches Get Patches of a Graph
getWeights Get All Weights of a Graph
getEdges Get Edges of a Graph
getConfs Generate Configurations of a Graph
Wolff Generate Random Samples from a Compound Potts Model by the Wolff Algorithm
getBlocks Get Blocks of a Graph
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Vignettes of PottsUtils

Name
figures/18neighbors.png
figures/26neighbors.png
figures/6neighbors.png
figures/Graph-patches.png
figures/Independent2D.png
figures/Independent2D2.png
figures/Independent3D.png
figures/Independent3D2.png
figures/Patches.png
figures/SW.png
figures/Wolff.png
figures/chessboard-3d-2.png
figures/chessboard.png
figures/neighbors1D.png
figures/neighbors2D.png
figures/neighbors3D.png
Intro.Rnw
Intro.bib
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Details

License GPL-2
NeedsCompilation yes
Packaged 2018-02-18 20:53:32 UTC; dai
Repository CRAN
Date/Publication 2018-02-18 21:04:47 UTC

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